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Found 3 papers, 1 papers with code
Multi-agent reinforcement learning for wall modeling in LES of flow over periodic hills
The trained wall model is validated in wall-modeled LES (WMLES) of flow over periodic hills at higher Reynolds numbers, and the results show the effectiveness of the model on flow with pressure gradients.
Scientific multi-agent reinforcement learning for wall-models of turbulent flows
We believe that SciMARL creates unprecedented capabilities for the simulation of turbulent flows.
Multi-agent Reinforcement Learning
reinforcement-learning
+1
A nonlinear subgrid-scale model for large-eddy simulations of rotating turbulent flows
Using detailed direct numerical simulations (DNSs) and LESs of rotating decaying turbulence and spanwise-rotating plane-channel flow, we reveal that the two model terms respectively account for dissipation and backscatter of energy, and that the nonlinear term improves predictions of the Reynolds stress anisotropy near solid walls.
Fluid Dynamics
